Data Science Intern

BNP Paribas

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3 weeks ago

Job Description

For the BNP Paribas Internship 2026, the team is looking for intellectually curious candidates who can not only solve complex problems but also understand the “why” and “how” behind the models. The intern will participate in the life of the LAB and take ownership of topics such as Automated Market Comments or Optimal Risk Management .
You will explore data from diverse sources, perform conceptual modeling, and handle data cleanup and transformation. The role requires a strong foundation in Probability Theory, Inference, and Linear Algebra .

As a Data Science Intern at BNP Paribas, your key responsibilities will include:
Data Analysis: Exploring and examining data from multiple diverse data sources.
Modeling: Conducting conceptual modeling, statistical analysis, predictive modeling, and optimization design.
Experimentation: Developing hypotheses and testing them with careful experiments.
Data Engineering: Helping build workflows for extraction, transformation, and loading (ETL) of data.
Research: Staying updated with current Machine Learning/AI literature and applying it to financial use cases.

To be eligible for BNP Paribas Internship 2026, candidates must meet the following criteria:
Educational Background: Bachelor’s or Master’s Degree in Data Science, Computer Science, Statistics, or Mathematics.
Experience: Beginner / Freshers.
Mandatory Technical Skills: Strong programming skills in Python . Knowledge of packages like NumPy, pandas, scikit-learn, Keras, TensorFlow, PyTorch . Understanding of key concepts in Statistics and Mathematics (Probability, Linear Algebra). Knowledge of ML tasks: Classification, Prediction, Clustering.
Strong programming skills in Python .
Knowledge of packages like NumPy, pandas, scikit-learn, Keras, TensorFlow, PyTorch .
Understanding of key concepts in Statistics and Mathematics (Probability, Linear Algebra).
Knowledge of ML tasks: Classification, Prediction, Clustering.
Preferred Skills: Involvement in communities like Kaggle, Numerai, or Open ML . Familiarity with Transformers and Generative Modeling.
Involvement in communities like Kaggle, Numerai, or Open ML .
Familiarity with Transformers and Generative Modeling.

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